| Literature DB >> 35887600 |
Oleksandr Oliynyk1,2, Wojciech Barg3, Yanina Oliynyk4, Serhij Dubrov1, Vitaliy Gurianov5, Marta Rorat6.
Abstract
Tocilizumab (TOC) is presumed to be an effective and safe treatment for severe COVID-19, but its usefulness has not been yet investigated for different SARS-CoV-2 variants. This study aimed to evaluate the influence of TOC on mortality in patients with severe COVID-19 caused by Delta and non-Delta SARS-CoV-2 variants. In a retrospective analysis, we compared the medical records of 78 and 224 patients with severe COVID-19 due to Delta and non-Delta variants, respectively. A total of 30 patients with Delta and 84 with non-Delta variants were treated with TOC in addition to standard therapy. There were no statistically significant differences in mortality rate when comparing Delta vs. non-Delta patients nor when comparing those treated with TOC vs. not treated with TOC in both variants. Using a logistic regression model, in the examined population as a whole, we found an increased (p < 0.05) risk of death as leukocyte and erythrocyte counts decreased and as procalcitonin increased. Increased procalcitonin was significant for mortality in the Delta group, while decreased IL-6, leukocytes, and platelets and increased fibrinogen and procalcitonin were significant in the non-Delta group. Tocilizumab efficacy in severe COVID-19 does not differ between Delta or non-Delta virus variants. The Delta variant of SARS-CoV-2 does not increase mortality when compared to other virus strains.Entities:
Keywords: ARDS; inteleukin-6 inhibitor; mutation
Year: 2022 PMID: 35887600 PMCID: PMC9324508 DOI: 10.3390/jpm12071103
Source DB: PubMed Journal: J Pers Med ISSN: 2075-4426
Basic demographic and medical data of the groups studied. Median (QI-QIII) for continuous variables, numerical values (%) for categorical variables. The Mann–Whitney test was used for comparison between continuous variables, and Fisher’s exact test was used for categorical variables.
| Delta ( | Non-Delta ( | ||
|---|---|---|---|
| Age, years | 70 (68–72) | 68 (66–71) | <0.001 |
| Sex, female (%) | 37 (47.4) | 108 (48,2) | 0.896 |
| Temperature, °C | 37.5 (37.2–37.8) | 37.5 (37.3–37.8) | 0.947 |
| CRP, mg/L | 113 (109–121) | 114 (101.5–123.5) | 0.825 |
| Interleukin-6, pg/mL | 64 (47–71) | 60 (47–72) | 0.537 |
| Procalcitonin, ng/mL | 0.8 (0.5–1.1) | 0.8 (0.6–1.0) | 0.695 |
| Ferritin, ng/mL | 1211.5 (1011–1478) | 1216.5 (1033.5–1349) | 0.457 |
| Fibrinogen, g/L | 6.7 (6.6–6.9) | 6.8 (3.5–6.9) | 0.320 |
| D-dimer, µg/L | 1422 (1215–1977) | 1341 (1233–1647) | 0.081 |
| Leukocytes, × 109/L | 4.2 (3.5–4.3) | 4.2 (3.950–4.3) | 0.934 |
| Lymphocytes, % | 22 (17–24) | 24 (22–26) | <0.001 |
| Thrombocytes, × 109/L | 126 (101–138) | 128 (102–138) | 0.609 |
| Erythrocytes, × 1012/L | 2.6 (2.2–3.2) | 3.2 (2.6–3.7) | <0.001 |
| PaO2/FiO2, mm Hg | 111 (74–130) | 139 (82–152) | <0.001 |
| Treatment with TOC, (%) | 30 (38.5) | 84 (37,5) | 0.893 |
| Mortality, (%) | 35 (44.9%) | 100 (44.6%) | >0.999 |
Laboratory test reference ranges: CRP < 5.0 mg/L, interleukin-6 <4.0 pg/mL, procalcitonin < 0.02 ng/mL, ferritin 8–143 ng/mL, fibrinogen 2.0–4.0 g/L, D-dimer <5 00 µg/L, leukocytes 4.0–9.0 × 109/L, lymphocytes 19–37%, thrombocytes 200–400 × 109/L, erythrocytes 3.6–4.2 × 1012/L, PaO2/FiO2 454–495 mm Hg.
Analysis of risk of death in a three-factor logistic regression model.
| Independent Variables | The Model Coefficient, | Significance Level of Difference of the Coefficient from 0, | OR (95% CI) |
|---|---|---|---|
| Procalcitonin, ng/mL | 7.788 ± 0.97 | <0.001 | 2646 (392–18,000) |
| Erythrocytes, × 1012/L | −0.98 ± 0.31 | 0.002 | 0.38 (0.20–0.99) |
| Leukocytes, × 109/L | −0.26 ± 0.13 | 0.038 | 0.77 (0.60–1.003) |
Figure 1ROC curve for the three-factor model for predicting mortality risk in the entire study population comprising both Delta and no-Delta patients. Multivariate logistic regression model using procalcitonin, erythrocytes, and leukocytes.
Basic demographic and medical data of the study groups with respect to treatment with tocilizumab. Median (QI–QIII) for continuous variables, numerical values (%) for categorical variables. The Mann–Whitney test was used for comparison between continuous variables, and Fisher’s exact test was used for categorical variables.
| A—Delta Group | no-TOC ( | TOC ( | |
|---|---|---|---|
| Age, years | 71 (68–72) | 70 (68–71) | 0.552 |
| Sex, female (%) | 22 (45.8) | 15 (50) | 0.817 |
| Temperature, °C | 37.5 (37.2–37.75) | 37.6 (37.5–37.9) | 0.111 |
| CRP, mg/L | 113 (106–121) | 112.5 (109–123) | 0.861 |
| Interleukin-6, pg/mL | 60 (32.5–72) | 64 (61–68) | 0.36 |
| Procalcitonin, ng/mL | 0.8 (0.2–1.1) | 0.8 (0.7–1.2) | 0.077 |
| Ferritin, ng/mL | 1117.5 (998–1313.5) | 1483 (1143–1789) | <0.001 |
| Fibrinogen, g/L | 6.7 (6.6–6.9) | 6.7 (6.6–7.6) | 0.203 |
| D-dimer, µg/L | 1245 (1121–1423) | 2108.5 (1657–2513) | <0.001 |
| Leukocytes, × 109/L | 4.2 (3.5–4.3) | 4.2 (4–4.3) | 0.36 |
| Lymphocytes, % | 24 (22–26) | 17 (16–18) | <0.001 |
| Thrombocytes, × 109/L | 128 (102–138) | 126 (85–128) | 0.261 |
| Erythrocytes, × 1012/L | 3.0 (2.6–3.65) | 2.2 (2.2–2.3) | <0.001 |
| PaO2/FiO2, mm Hg | 111 (76.5–132.5) | 98 (71–120) | 0.051 |
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| Age, years | 68 (66–70) | 69 (66.5–71) | 0.062 |
| Sex, female (%) | 68 (48.6) | 40 (47.6) | >0.999 |
| Temperature, °C | 37.5 (37.2–37.7) | 37.5 (37.4–37.95) | 0.036 |
| CRP, mg/L | 113 (103.5–122.5) | 115 (99–125.5) | 0.391 |
| Interleukin-6, pg/mL | 60 (34–72) | 68 (49–76) | 0.018 |
| Procalcitonin, ng/mL | 0.8 (0.7–1.1) | 0.8 (0.5–1.0) | 0.073 |
| Ferritin, ng/mL | 1211.5 (1015.5–1323.5) | 1222.5 (1067–1454.5) | 0.239 |
| Fibrinogen, g/L | 6.5 (3.5–6.9) | 6.8 (6.650–8.6) | <0.001 |
| D-dimer, µg/L | 1305 (1211–1423) | 1432 (1341–1763) | <0.001 |
| Leukocytes, × 109/L | 4.1 (3.5–4.2) | 4.2 (4.2–4.35) | <0.001 |
| Lymphocytes, % | 24 (23–26) | 23 (18–26) | 0.006 |
| Thrombocytes, × 109/L | 126 (102–138) | 128 (85–138) | 0.96 |
| Erythrocytes, × 1012/L | 3.2 (2.75–3.7) | 2.8 (2.6–3.3) | 0.014 |
| PaO2/FiO2, mm Hg | 136.5 (81–152) | 142 (88–149.5) | 0.070 |
Death n (%) in Delta and non-Delta patients treated or not with tocilizumab (TOC, no-TOC); Fisher’s exact test was used.
| TOC | No-TOC | |||
|---|---|---|---|---|
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| Death | No | 16 (53.3%) | 27 (56.2%) | 0.819 |
| Yes | 14 (46.7%) | 21 (43.7%) | ||
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| Death | No | 52 (61.9%) | 72 (51.4%) | 0.165 |
| Yes | 32 (38.1%) | 68 (48.6%) | ||
Analysis of risk of death in a single-factor logistic regression model for the Delta group.
| Independent Variables | The Model Coefficient, | Significance Level of Difference of the Coefficient from 0, | OR (95% CI) |
|---|---|---|---|
| Procalcitonin, ng/mL | 4.03 ± 0.91 | <0.001 | 56.5 (9.4–341) |
Analysis of risk of death in a five-factor logistic regression model for the non-Delta group.
| Independent Variables | The Model Coefficient, | Significance Level of Difference of the Coefficient from 0, | OR (95% CI) |
|---|---|---|---|
| Leukocytes, × 109/L | –0.541 ± 0.21 | 0.015 | 0.60 (0.40–0.91) |
| Fibrinogen, g/L | 1.23 ± 0.27 | <0.001 | 3.43 (2.03–5.80) |
| IL-6, pg/mL | −0.032 ± 0.016 | 0.040 | 0.97 (0.94–0.99) |
| Thrombocytes, × 109/L | −0.063 ± 0.019 | 0.001 | 1.07 (1.03–1.10) |
| Procalcitonin, ng/mL | 13.3 ± 2.1 | <0.001 | 5 × 105 (9900–3.4 × 106) |
Figure 2ROC curves (multivariate logistic regression models) for predicting mortality risk. (A): a model using procalcitonin for the Delta group. (B): a five-factor model using IL-6, fibrinogen, leukocytes, thrombocytes, and procalcitonin for the non-Delta group.